Phinch is an open-source framework for visualizing biological data, funded by a grant from the Alfred P. Sloan foundation. This project represents an interdisciplinary collaboration between Pitch Interactive, a data visualization studio in Oakland, CA, and biological researchers at UC Davis. Whether it's genes, proteins, or microbial species, Phinch provides an interactive visualization tool that allows users to explore and manipulate large biological datasets.
Phinch is optimized for use in the Chrome browser. It currently supports downstream analyses of .biom files (Biological Observation Matrix, a JSON-formatted file type typically used to represent marker gene OTUs or metagenomic data). All sample metadata and taxonomy/ontology information MUST be embedded in the .biom file before being uploaded.
Phinch supports both "sparse" and "dense" BIOM formats (although sparse .biom files are highly recommended, since the file size is much smaller). In QIIME, users can prepare the .biom file by executing the following commands:
make_otu_table.py -i final_otu_map_mc2.txt -o otu_table_mc2_w_tax.biom -t rep_set_tax_assignments.txt
Second, add your sample metadata to your .biom file. Where your input file (-i) is your OTU Map (defining clusters of raw sequences reads), taxonomy file (-t) contains the taxonomy or gene ontology strings that correspond to each OTU, and mapping file (-m) is a tab-delimited file containing sample metadata (instructions).
biom add-metadata -i otu_table_mc2_w_tax.biom -o otu_table_mc2_w_tax_and_metadata.biom -m sample_metadata_mapping_file.txt
Run the repo locally
# install CoffeeScript sudo npm install -g coffee-script # cd to your local phinch folder coffee -o scripts/ -cw src/
The BSD 2-Clause License